Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153901 | Statistics & Probability Letters | 2006 | 5 Pages |
Abstract
Consider the randomly weighted sums Sn(θ)=âk=1nθkXk, n=1,2,â¦, where {Xk,k=1,2,â¦} is a sequence of independent real-valued random variables with common distribution F, whose right tail is regularly varying with exponent -α<0, and {θk,k=1,2,â¦} is a sequence of positive random variables, independent of {Xk,k=1,2,â¦}. Under a suitable summability condition on the upper endpoints of θk,k=1,2,â¦, we prove that Pr(max1⩽n<âSn(θ)>x)â¼F¯(x)âk=1âEθkα.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Yiqing Chen, Kai W. Ng, Xiangsheng Xie,